Head of Financial Crimes Analytics Optimization

> Lead the development and implementation of advanced data analytics solutions for financial crimes prevention, including transaction monitoring, suspicious activity reporting, sanction screening, and customer risk ranking. > Collaborate closely with stakeholders in the Financial Crimes, Compliance, Legal, and IT departments to deliver analytics solutions from conception to deployment. > Guide financial investigations leveraging graph-based approaches, graph analytics infrastructure, and data sourcing efforts to identify client behavior patterns. > Conduct research efforts to identify novel methods to deliver efficiency and effectiveness across analytical solutions. > Manage and provide guidance to junior data scientists and analysts in the team. > Ensure compliance with BSA/AML regulations and standards in all data analytics activities. > Master's degree in machine learning, statistics, mathematics, data science, computer science, engineering, or other highly quantitative fields. > 7 years of hands-on industry experience in building quantitative models including supervised and unsupervised machine learning and applied statistical analysis with at least 5 years focused on financial crime prevention. > Strong presentation and communication skills, with the ability to articulate complex technical concepts to non-technical audiences. > In-depth knowledge of financial crime typologies, BSA/AML regulations, OFAC sanctions, investigative methodologies or fraud analytics. > In-depth knowledge of software design principles and excellent skills in one or more programming languages including Python, R, Java, Scala. > Experience in defining and owning product roadmaps and their delivery > Experience with financial crime specific platforms {e.g. Actimize, Quantexa) > Experience with graph databases and network analysis (e.g. NetworkX, Neo4J). > Experience with deep learning frameworks including PyTorch or TensorFlow. > Experience in implementing solutions in production following Software Development Life Cycle principles > Experience with setting up process to deliver and managing resources focused on data analysis & wrangling using tools like Alteryx, SQL and Dataiku > Experience with big data tools such as Hadoop and cloud computing, such as PySpark. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Expected base pay rates for the role will be between $165,000.00 and $275,000.00 per year at the commencement of employment. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.